Propuesta metodológica basada en regresión espacial kriging para estimar el valor por metro cuadrado de área privada en apartamentos sometidos a propiedad horizontal con fines de avalúo hipotecario (2023– 2025): Caso UPL Britalia, Bogotá D.C.
| dc.contributor.advisor | Melo Martinez, Carlos Eduardo | |
| dc.contributor.author | Huaman Pineda, Meylin Sofia | |
| dc.contributor.author | Forero Silva, Kevin Santiago | |
| dc.contributor.orcid | Melo Martinez, Carlos Eduardo [0000-0002-5598-1913] | |
| dc.date.accessioned | 2025-11-26T16:50:31Z | |
| dc.date.available | 2025-11-26T16:50:31Z | |
| dc.date.created | 2025-11-06 | |
| dc.description | Este proyecto propone una metodología para la estimación del valor por metro cuadrado en apartamentos sometidos a propiedad horizontal, delimitada al caso de la Unidad de Planeación Local (UPL) Britalia en Bogotá D.C. durante el periodo 2023–2025. La propuesta surge de la necesidad de superar limitaciones de los métodos tradicionales de valoración urbana, los cuales suelen basarse en comparaciones directas o promedios zonales que no capturan de manera suficiente la heterogeneidad espacial ni las condiciones contextuales que inciden en el comportamiento del mercado inmobiliario. Para tal fin, se construye una base de datos georreferenciada que integra avalúos técnicos realizados en el periodo de estudio y registros de oferta inmobiliaria recolectados de manera sistemática mediante técnicas de web scraping en portales especializados, garantizando un insumo actualizado y homogéneo para el análisis. Sobre esta base se aplican modelos de regresión y econometría espacial, con el objetivo de evaluar el efecto de variables físicas, socioeconómicas y territoriales en la conformación del valor unitario. Adicionalmente, se contempla la aplicación de técnicas geoestadísticas, en particular la regresión kriging, como estrategia para capturar la dependencia espacial no explicada por los modelos econométricos, lo que permite generar superficies de estimación y representaciones cartográficas coherentes con la distribución territorial de los valores. Los resultados de este enfoque se proyectan como una herramienta metodológica replicable que amplía las alternativas técnicas disponibles para la valoración urbana, facilitando la validación de avalúos, la interpretación de la estructura espacial del mercado y el fortalecimiento de la trazabilidad en procesos aplicados a gestión inmobiliaria. Asimismo, el carácter escalable de la metodología abre la posibilidad de adaptarla a otros contextos urbanos con dinámicas de alta heterogeneidad y disponibilidad parcial de información, siempre que se disponga de datos georreferenciados que permitan la estructuración del modelo. | |
| dc.description.abstract | This project proposes a methodological approach for estimating the square meter value of private area in apartments under condominium ownership, focusing on the Local Planning Unit (UPL) Britalia in Bogotá D.C. during the 2023–2025 period. The proposal arises from the need to overcome the limitations of traditional urban valuation methods, which often rely on direct comparisons or zonal averages that fail to adequately capture spatial heterogeneity and contextual conditions influencing real estate market behavior. To address this, a georeferenced database is constructed by integrating technical appraisal records from the study period with real estate listings systematically collected through web scraping from specialized portals, ensuring a consistent and up-to-date input for analysis. On this basis, regression models and spatial econometrics are applied to evaluate the impact of physical, socioeconomic, and territorial variables on unit values. Additionally, geostatistical techniques, particularly residual kriging, are considered to capture spatial dependence not explained by econometric models, allowing the generation of estimation surfaces and cartographic representations consistent with the territorial distribution of property values. The outcomes of this approach are projected as a replicable methodological tool that broadens the technical alternatives available for urban valuation, supporting the validation of appraisals, the interpretation of spatial market structures, and the strengthening of traceability in real estate management processes. Furthermore, the scalable nature of the methodology opens the possibility of adapting it to other urban contexts characterized by high heterogeneity and partial data availability, provided that georeferenced information is available to support model structuring. | |
| dc.format.mimetype | ||
| dc.identifier.uri | http://hdl.handle.net/11349/99950 | |
| dc.language.iso | spa | |
| dc.publisher | Universidad Distrital Francisco José De Caldas | |
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| dc.rights.acceso | Abierto (Texto Completo) | |
| dc.rights.accessrights | OpenAccess | |
| dc.subject | Econometría espacial | |
| dc.subject | Geoestadística | |
| dc.subject | Regresión kriging | |
| dc.subject | Valoración inmobiliaria | |
| dc.subject | Análisis espacial | |
| dc.subject | SIG | |
| dc.subject | Avalúos | |
| dc.subject.keyword | Spatial econometrics | |
| dc.subject.keyword | Geostatistics | |
| dc.subject.keyword | Kriging regression | |
| dc.subject.keyword | Real estate valuation | |
| dc.subject.keyword | Spatial analysis | |
| dc.subject.keyword | GIS | |
| dc.subject.keyword | Appraisal | |
| dc.subject.lemb | Ingeniería Catastral y Geodesia -- Tesis y disertaciones académicas | |
| dc.title | Propuesta metodológica basada en regresión espacial kriging para estimar el valor por metro cuadrado de área privada en apartamentos sometidos a propiedad horizontal con fines de avalúo hipotecario (2023– 2025): Caso UPL Britalia, Bogotá D.C. | |
| dc.title.titleenglish | Methodological proposal based on spatial kriging regression to estimate the value per square meter of private area in apartments subject to horizontal property for mortgage appraisal purposes (2023–2025): Case UPL Britalia, Bogotá D.C. | |
| dc.type | bachelorThesis | |
| dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | |
| dc.type.degree | Monografía | |
| dc.type.driver | info:eu-repo/semantics/bachelorThesis |
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